Vulnerability identifier: #VU69886
Vulnerability risk: Medium
CVSSv3.1: 6.5 [CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C]
CVE-ID:
CWE-ID:
CWE-20
Exploitation vector: Network
Exploit availability: No
Vulnerable software:
TensorFlow
Server applications /
Other server solutions
Vendor: TensorFlow
Description
The vulnerability allows a remote attacker to perform a denial of service (DoS) attack.
The vulnerability exists due to insufficient validation of user-supplied input in SparseMatrixNNZ. A remote attacker can pass specially crafted input to the application and perform a denial of service (DoS) attack.
Mitigation
Install updates from vendor's website.
Vulnerable software versions
TensorFlow: 2.8.0 - 2.8.3, 2.9.0 - 2.9.2, 2.10.0
External links
http://github.com/tensorflow/tensorflow/commit/f856d02e5322821aad155dad9b3acab1e9f5d693
http://github.com/tensorflow/tensorflow/security/advisories/GHSA-g9fm-r5mm-rf9f
http://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse/sparse_matrix.h
Can this vulnerability be exploited remotely?
Yes. This vulnerability can be exploited by a remote non-authenticated attacker via the Internet.
Is there known malware, which exploits this vulnerability?
No. We are not aware of malware exploiting this vulnerability.